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- ...serving bold flavors, fresh energy, and a next-level guest experience that keeps people coming back. As a Vibe Captain , you’re the spark that keeps the team fired up and the shift running smooth. You’ll lead with confidence, inspire your crew, and make sure every guest...SuggestedFlexible hoursShift workNight shiftDay shiftAfternoon shift
Saucy! by KFC
Florida12 days ago - ...years of experience building data pipelines in cloud environments ~4+ years of experience with Big Data technologies (e.g., Spark, Hadoop) and cloud architecture ~3+ years of experience with reporting and analytics tools (e.g., Tableau, Power BI) ~ Hands...SuggestedLong term contract
- ...managing user access, roles, and permissions using IAM, SCIM , and role-based access control (RBAC). 8 Required Proficiency with Apache Spark concepts, including performance tuning and troubleshooting. 8 Required Experience integrating Databricks with cloud storage services...SuggestedContract work
- ...Cleansing, deduplication, parsing, and merging of high-volume datasets Parsing EBCDIC/COBOL-formatted VSAM files using Spark-Cobol Library Connecting to Db2 databases using JDBC drivers for ingestion For applications and inquiries, contact: hirings...SuggestedRemote work
- ...Must be Local to Reston, NO RELO - OnSite 3 days a week. Top 5 Technical Skills: Python (Big Data Pipeline) AWS Hadoop, Spark, Hive EMR Terraform Job Description: Strong Python development to build a big-data pipeline for data processing and analysis Need strong...SuggestedContract workWork experience placementLocal area3 days per week
- ...Mobile etc) Preferred qualifications Experience with streaming API s like Kafka Understanding of Big Data/Data Lake technologies (Spark, Hadoop, Databricks etc) Understanding of Design patterns and clean coding Understanding of technical aspects of Analytic...SuggestedLocal area
- ...Responsibilities : Expertise in big data processing, Core Java and Apache spark particularly within finance domain. Should have a strong experience working with financial instruments, market risk and large-scale distributed computing systems. Develop...Suggested
- ...resume and contact details. Core Technical Skills: SQL Server SQL Server Integration Services Azure Synapse Spark Microsoft Fabric Required Skills & Experience: ~ Bachelor's or Master's degree in computer science, information...SuggestedContract workWork at officeRemote work
- ...Google Cloud Platform) ~ Familiarity with REST APIs and microservices architecture ~ Experience with data processing tools (Spark, Pandas, etc.) Preferred Qualifications Experience working in data security / cybersecurity domain Knowledge of MLOps...SuggestedContract work
- ...ingestion, transformation, and data reliability Real-time systems Build streaming solutions using Kafka or Azure Event Hubs, Use Spark Structured Streaming for high-volume data processing API and integration Lead integrations using Spring Boot, Dell Boomi, and...Suggested
- ...~7+ years of experience in Software Engineering ~4+ years building big data pipelines ~4+ years of experience with: Apache Spark (PySpark / Spark SQL), Hive and Iceberg tables, SQL / SQL Server or other RDBMS ~ Strong programming experience in: Python, PySpark...SuggestedContract workRemote work
- ...and SQL ~ Hands-on experience with AWS services (S3, Glue, Redshift, Lambda, EMR) ~ Experience with big data tools like Apache Spark, Hadoop, or Kafka ~ Knowledge of Machine Learning concepts and model lifecycle ~ Experience with ETL/ELT frameworks and data...SuggestedRemote work
- ...Petabyte-level data systems. Experience with cloud-native data tools and architectures (e.g., Redshift, Glue, Airflow, Apache Spark). Proficient in automated testing frameworks (PyTest, Playwright or Jest) and testing best practices. Experience developing...SuggestedLong term contractRemote work
- ...and SQL ~ Hands-on experience with AWS services (S3, Glue, Redshift, Lambda, EMR) ~ Experience with big data tools like Apache Spark, Hadoop, or Kafka ~ Knowledge of Machine Learning concepts and model lifecycle ~ Experience with ETL/ELT frameworks and data...SuggestedRemote work
- ...platform engineer to design and build a containerized API layer that abstracts and governs interactions with engines such as Apache Spark through a well-defined API contract. This role focuses on building platform capabilities, not simply consuming existing data tools enabling...SuggestedContract work
- ..., improving database performance, and developing quality audits. Proficient with the Azure stack, including Synapse Analytics, Spark/Python, Azure SQL, Azure Data Factory (ADF), Kusto, among others. Knowledgeable in ETL tools, particularly Azure Data Services,...Contract work
- ...scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2. Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search. Expert knowledge in conducting data analysis...Contract workWork experience placement
- ...Preferred: Experience working with data pipelines integrated with machine learning models. Exposure to big data technologies such as Spark, Kafka, Flink, or similar. Familiarity with supervised machine learning, labelled datasets, and feedback loop systems. Experience...
- ...related discipline Minimum of 5+ years of relevant industry experience Minimum 5 years of experience developing in Hadoop echo system ( Spark, PySpark, MapReduce, Hive, Impala ) Minimum 5 years of experience with common application frameworks (JEE Spring Boot, Struts,...Remote work
- ...develop scalable data transformation pipelines using DBT Cloud Architect and implement Databricks-based data solutions (Delta Lake, Spark) Build and optimize data models (star/snowflake schemas) for analytics Develop ETL/ELT pipelines using modern data stack...
- ...generation, and intelligent automation. - Work with large structured and unstructured datasets using tools like Pandas, NumPy, and Spark. - Implement models in production environments using Python, TensorFlow, PyTorch, or scikit-learn. - Conduct exploratory...
- ...Years of Exp.: 8+ years exp. Skills: 8+ years of ai/ml, ml algorithms, big data, sql, testing, tuning, python, java or r, ml framework; spark, matlab, data bricks, tensorflow, or scikit-learn, chatbots, nlp, image/data classification, sentiment analysis, regression analysis...Local areaRemote work
- ...specifically AWS. Preferred qualifications: Experience with MLOps tools (e.g., MLflow, Kubeflow). Knowledge of big data technologies (Spark, Hadoop, Databricks). Background in NLP, computer vision, or other advanced AI techniques. Relevant certifications (Coursera, edX,...
- ...MLOps: MLflow, Kubeflow, Vertex AI, Sagemaker, CI/CD, Docker, Kubernetes, observability tooling Data Engineering: Airflow/Prefect, Spark/Ray, data validation and pipelines, vector stores Software Engineering: Python expertise, API design, cloud architecture,...Contract work
- ...of experience in design, implement and maintain Python, Microservice, Spring Boot, Spring Cloud, RESTful services, Kafka, Swagger, Spark, MongoDB, Flink, Ab Initio, Docker, Kubernetes technologies Strategize, Design data architecture for specific business problems...Permanent employmentFull timeFlexible hours
- ...tracking, model packaging, and deployment. Advanced experience with PySpark and distributed data processing. Experience with AWS EMR for Spark cluster management and large-scale data transformations. Solid understanding of MLOps concepts: CI/CD for ML, feature stores,...
- ...Unity Catalog). Clear separation of compute vs. serving layers in distributed architectures. Low-latency API strategy where Spark is insufficient (e.g., leveraging optimized services or caching). Caching strategies to accelerate reads and reduce compute...
- ...Google Cloud Platform) Knowledge of MLOps tools (Docker, Kubernetes, CI/CD pipelines) Familiarity with SQL and big data tools (Spark, Hadoop) Qualifications: Bachelor's or master's degree in computer science, AI, Data Science, or related field 5 6 years of...
- ...or Scala for ML development. Knowledge of cloud-based ML platforms (AWS, Azure, GCP). Experience with big data processing (Spark, Hadoop, or Dask). Ability to scale ML models from prototypes to production. Strong analytical and problem-solving skills....Full timeContract workRemote work
- ...preprocessing, and feature engineering ~ Experience with SQL and/or NoSQL databases ~ Familiarity with big data tools such as Apache Spark and OpenSearch ~ Solid foundation in mathematics and statistics (linear algebra, calculus, probability) Preferred...Full timeContract work
